Reducing health provider stereotypes through undergraduate interprofessional education
Bibliographic record
Abstract
Objective: Stereotypes among health professionals can jeopardize the delivery of collaborative healthcare and the achievement of positive patient outcomes. However, interprofessional education (IPE) can promote early clarification of roles, and understanding and mutual respect among trainees from different health disciplines. We studied the effects of IPE activities on the views and attitudes of pharmacy students toward nurse- and physician-trainees. Methods: Pharmacy students completed a structured written reflection exercise immediately following two separate IPE activities with nursing and medical students, both oriented around diabetes care. We conducted an inductive content analysis of these texts to identify key themes according to the domains of the contact hypothesis theoretical framework: organizational authority, common goals, intergroup cooperation, equal group status and intergroup status. Pharmacy students were also asked how these IPE activities have influenced their views regarding their future pharmacy practice. Results: Pharmacy students felt that their groups had cooperated to solve the common patient care goals in each IPE activity, and noted no distinction between the nursing and medical students. However, through either explicit or implicit negotiation of overlapping roles, many pharmacy students ultimately assumed deferential positions relative to medical students. Overall, pharmacy students' attitudes and views regarding the abilities and roles of nursing and medical students in patient care were favorably altered through the IPE activities. Notably, nurses' drug knowledge and diagnostic abilities of nurses and physicians' familiarity with the primary literature and prescribing regimens was previously under-rated but became recognized after IPE activities. Conclusion: Pharmacy students' stereotypical views towards nursing and medical students were positively shifted when IPE activity conditions were optimized for intergroup contact.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".